Contrast restoration of road images taken in foggy weather

Abstract

Driver assistance systems based on camera are strongly disturbed by the presence of foggy weather. The restoration of images, as pre-processing, would improve the performances of such systems. In this paper, we propose a method to restore the image contrast of foggy road scenes combining a physical approach, based on Koschmieders model and a signals approach, based on local histogram equalization. Then we optimize the parameters of our method using a simulated annealing. This method, evaluated on a reference image database, presents a significant improvement compared to other methods and gives consistent results for both homogeneous and inhomogeneous fog.

Original document

The different versions of the original document can be found in:

• http://perso.lcpc.fr/hautiere.nicolas/pdf/2011/hautiere-cvvt11.pdf

• https://hal.archives-ouvertes.fr/hal-00876424

• http://xplorestaging.ieee.org/ielx5/6114268/6130192/06130501.pdf?arnumber=6130501,

http://dx.doi.org/10.1109/iccvw.2011.6130501

• https://dblp.uni-trier.de/db/conf/iccvw/iccvw2011.html#HalmaouiCH11,

http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006130501,

https://ieeexplore.ieee.org/document/6130501,

https://academic.microsoft.com/#/detail/2115430688